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Tian T, Wang L, Xu J, Jia Y, Xue K, Huang S, Shen T, Luo Y, Li S, Min L. Prediction of early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis. J Cereb Blood Flow Metab 2023; 43:2049-2059. [PMID: 37668997 PMCID: PMC10925869 DOI: 10.1177/0271678x231200117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/06/2023] [Accepted: 08/13/2023] [Indexed: 09/06/2023]
Abstract
A proportion of acute ischemic stroke (AIS) patients suffer from early neurological deterioration (END) within 24 hours following intravenous thrombolysis (IVT), which greatly increases the risk of poor prognosis of these patients. Therefore, we aimed to explore the predictors of early neurological deterioration of ischemic origin (ENDi) in AIS patients after IVT and develop a nomogram prediction model. This study collected 244 AIS patients with post-thrombolysis ENDi as the derivation cohort and 155 patients as the validation cohort. To establish a nomogram prediction model, risk factors were identified by multivariate logistic regression analysis. The results showed that neutrophil to lymphocyte ratio (NLR) (OR 2.616, 95% CI 1.640-4.175, P < 0.001), mean platelet volume (MPV) (OR 3.334, 95% CI 1.351-8.299, P = 0.009), body mass index (BMI) (OR 1.979, 95% CI 1.285-3.048, P = 0.002) and atrial fibrillation (AF) (OR 8.012, 95% CI 1.341-47.873, P = 0.023) were significantly associated with ENDi. The area under the curve of the prediction model constructed from the above four factors was 0.981 (95% CI 0.961-1.000) and the calibration curve was close to the ideal diagonal line. Therefore, this nomogram prediction model exhibited good discrimination and calibration power and might be a reliable and easy-to-use tool to predict post-thrombolysis ENDi in AIS patients.
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Affiliation(s)
- Tian Tian
- Department of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Lanjing Wang
- Department of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jiali Xu
- Department of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yujie Jia
- Department of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Kun Xue
- Department of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Shuangfeng Huang
- Department of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Tong Shen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yumin Luo
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Sijie Li
- Department of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Lianqiu Min
- Department of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
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Hao Y, Zhou H, Pan C, Xie G, Hu J, Zhang B, Qian S, Yan S. Prediction factors and clinical significance of different types of hemorrhagic transformation after intravenous thrombolysis. Eur J Med Res 2023; 28:509. [PMID: 37951926 PMCID: PMC10638828 DOI: 10.1186/s40001-023-01503-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 11/03/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND AND PURPOSE Hemorrhagic transformation (HT) after intravenous thrombolysis (IVT) in acute ischemic stroke seriously affects the prognosis of patients. This study aimed to investigate the risk factors of different types of HT and their correlation with prognosis after IVT. METHODS Based on the CASE II registry, we included patients with acute ischemic stroke who received IVT within 4.5 h of onset. HT was further divided into hemorrhagic infarction (HI) and parenchymal hemorrhage (PH). Poor outcome was defined as a modified Rankin Scale (mRS) score of 3-6 at 3 months. Multivariate logistic regression analysis was used to determine the independent influencing factors of HT subtypes and clinical outcome. RESULTS Among 13108 included patients, 541 (4.1%) developed HI and 440 (3.4%) developed PH. In multivariate analysis, age (OR 1.038, 95% CI 1.028 to 1.049, p < 0.001), atrial fibrillation (OR 1.446, 95% CI 1.141 to 1.943, p = 0.002), baseline diastolic pressure (OR 1.012, 95% CI 1.004 to 1.020, p = 0.005), baseline NIHSS score (OR 1.060, 95% CI 1.049 to 1.071, p < 0.001) and onset to treatment time (OR 1.002, 95% CI 1.000 to 1.004, p = 0.020) independently predicted PH after IVT. In the patients with HT, PH (OR 3.611, 95% CI 2.540 to 5.134, p < 0.001) and remote hemorrhage (OR 1.579, 95% CI 1.115 to 2.235, p = 0.010) were independently related to poor outcome. CONCLUSIONS Different types of HT after IVT had different risk factors and clinical significance. The occurrence of PH and remote hemorrhage independently increased the risk of poor outcome.
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Affiliation(s)
- Yanan Hao
- Department of Neurology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Huan Zhou
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Chengzhen Pan
- Department of Neurology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
- Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Hangzhou, China
| | - Guomin Xie
- Department of Neurology, Lee Hui-Lee East Hospital, Ningbo, China
| | - Jin Hu
- Department of Neurology, The First Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Bing Zhang
- Department of Neurology, Huzhou Central Hospital, Huzhou, China
| | - Shuxia Qian
- Department of Neurology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
| | - Shenqiang Yan
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
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Wang Y, Bai X, Ye C, Yu Y, Wu B. The association between the severity and distribution of white matter lesions and hemorrhagic transformation after ischemic stroke: A systematic review and meta-analysis. Front Aging Neurosci 2022; 14:1053149. [PMID: 36506465 PMCID: PMC9732368 DOI: 10.3389/fnagi.2022.1053149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 11/04/2022] [Indexed: 11/27/2022] Open
Abstract
Background and purpose As a part of the natural course of ischemic stroke, hemorrhagic transformation (HT) is a serious complication after reperfusion treatment, which may affect the prognosis of patients with ischemic stroke. White matter lesions (WMLs) refer to focal lesions on neuroimaging and have been suggested to indicate a high risk of HT. This systematic review and meta-analysis aimed to summarize current evidence on the relation between WML and HT. Methods This systematic review was prepared with reference to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched PubMed, Embase, Web of Science, and Cochrane Library databases for publications on WML and HT in patients with ischemic stroke. Odds ratios (ORs) and 95% confidence intervals (CIs) from eligible studies were combined to quantify the association between the severity of WML and the risk of HT. In addition, the descriptive analysis was adopted to evaluate the influence of different WML distributions on predicting HT. Results A total of 2,303 articles were identified after removing duplicates through database searching, and 41 studies were included in our final analysis. The meta-analysis showed that the presence of WML was associated with HT (OR = 1.62, 95%CI 1.08-2.43, p = 0.019) and symptomatic intracerebral hemorrhage (sICH) (OR = 1.64, 95%CI 1.17-2.30, p = 0.004), and moderate-to-severe WML indicated a high risk of HT (OR = 2.03, 95%CI 1.33-3.12, p = 0.001) and sICH (OR = 1.92, 95%CI 1.31-2.81, p < 0.001). The dose-response meta-analysis revealed risk effects of increasing the severity of WML on both HT and ICH. In addition, both periventricular WML (PWML) (five of seven articles) and deep WML (DWML) (five of six articles) were shown to be associated with HT. Conclusions White matter lesions are associated with overall HT and sICH in patients with ischemic stroke, and more severe WMLs indicate a high risk of HT and sICH. In addition, both PWML and DWMLs could be risk factors for HT. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier: PROSPERO CRD42022313467.
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Affiliation(s)
- Youjie Wang
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Xueling Bai
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Chen Ye
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Yifan Yu
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Bo Wu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China,*Correspondence: Bo Wu
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Christidi F, Tsiptsios D, Sousanidou A, Karamanidis S, Kitmeridou S, Karatzetzou S, Aitsidou S, Tsamakis K, Psatha EA, Karavasilis E, Kokkotis C, Aggelousis N, Vadikolias K. The Clinical Utility of Leukoaraiosis as a Prognostic Indicator in Ischemic Stroke Patients. Neurol Int 2022; 14:952-980. [PMID: 36412698 PMCID: PMC9680211 DOI: 10.3390/neurolint14040076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 11/19/2022] Open
Abstract
Stroke constitutes a major cause of functional disability with increasing prevalence among adult individuals. Thus, it is of great importance for both clinicians and stroke survivors to be provided with a timely and accurate prognostication of functional outcome. A great number of biomarkers capable of yielding useful information regarding stroke patients' recovery propensity have been evaluated so far with leukoaraiosis being among them. Literature research of two databases (MEDLINE and Scopus) was conducted to identify all relevant studies published between 1 January 2012 and 25 June 2022 that dealt with the clinical utility of a current leukoaraiosis as a prognostic indicator following stroke. Only full-text articles published in English language were included. Forty-nine articles have been traced and are included in the present review. Our findings highlight the prognostic value of leukoaraiosis in an acute stroke setting. The assessment of leukoaraiosis with visual rating scales in CT/MRI imaging appears to be able to reliably provide important insight into the recovery potential of stroke survivors, thus significantly enhancing stroke management. Yielding additional information regarding both short- and long-term functional outcome, motor recovery capacity, hemorrhagic transformation, as well as early neurological deterioration following stroke, leukoaraiosis may serve as a valuable prognostic marker poststroke. Thus, leukoaraiosis represents a powerful prognostic tool, the clinical implementation of which is expected to significantly facilitate the individualized management of stroke patients.
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Affiliation(s)
- Foteini Christidi
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Dimitrios Tsiptsios
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
- Correspondence:
| | - Anastasia Sousanidou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Stefanos Karamanidis
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Sofia Kitmeridou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Stella Karatzetzou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Souzana Aitsidou
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Konstantinos Tsamakis
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London SE5 8AF, UK
| | - Evlampia A. Psatha
- Department of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Efstratios Karavasilis
- Medical Physics Laboratory, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Konstantinos Vadikolias
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
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